SBIR/STTR Research Award

Game Environment Interlingua to Support Tutoring (GEIST)

Award identifier edb4b5972acebe2ff855511960bed783a8c1531c9d925a91198da838db71f7b9Awarding agency Department of Defense · Army

Award amount

$99,966

Program and phase

SBIR · Phase I

Award year

2012

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
CHARLES RIVER ANALYTICS, INC.
Proposal award date
2012-04-18
Contract end date
Not reported
UEI
DD1BYN8SN355
Solicitation number
2012.1
Topic code
A12-025

Research abstract

Intelligent tutoring systems (ITSs) provide a powerful new mechanism to improve education by providing one-on-one tutoring interactions without the need for a human tutor. Unfortunately, many domains of learning, especially those that focus on physical skills, require the creation of complex simulations that incur significant development overhead. While modern computer-based game engines are able to simulate these concrete, dynamic domains to great degrees of interactivity and fidelity, they lack formal feedback and training mechanisms. Therefore, to enable high-quality pedagogical feedback with interactive high-fidelity simulation, cost-effective methods are needed to integrate existing and new ITS solutions with modern computer-based game engines. We propose to design and demonstrate the feasibility of a Game Environment Interlingua to Support Tutoring (GEIST), a generalized architecture to integrate ITS solutions with modern computer-based games. GEIST: (1) reduces ITS-game environment integration effort using a ITS-game interlingua; (2) intelligently configures the game environment to present ITS problems; (3) monitors, interprets, and reports student actions to the ITS during training; and (4) communicates feedback from the ITS to the trainee through the game environment. The GEIST design is based on our team"s existing work in ITSs, planning, knowledge representation, and game environment integration.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

961 SBIR/STTR records share this UEI (1984–2026). Reported award amounts total $386,500,110. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Health and Human Services, Department of Homeland Security, Department of Transportation, Department of Energy

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.